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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 1219
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    Explanations

    references to a specific educational institution, Southern Evangelical Seminary

    oai_token-act-pair · gpt-3.5-turbo

    references to seminar events or programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Strauss
    -0.66
    Adds
    -0.65
    IVE
    -0.62
     indifference
    -0.61
     mole
    -0.61
    çĶŁ
    -0.61
    ãģ¦
    -0.60
     bowling
    -0.59
     rooting
    -0.59
     withholding
    -0.58
    POSITIVE LOGITS
    antics
    1.43
    blance
    1.26
    inary
    1.26
    inar
    1.15
    iotics
    1.14
    antic
    1.13
    mers
    1.07
    antically
    1.07
    onyms
    1.03
    aph
    1.00
    Activations Density 0.019%

    No Known Activations